code: def test_augmentation_param_invalid_input():
      with pytest.raises(ValueError):
          efficientnet.HyperEfficientNet(
              input_shape=INPUT_SHAPE_32,
              classes=10,
              augmentation_model=0,
          )
  
file_path: keras-tuner/keras_tuner/applications/efficientnet_test.py
imports: import numpy
  import pytest
  from keras_tuner.applications import efficientnet
  from keras_tuner.backend import config
  from keras_tuner.backend import keras
  from keras_tuner.engine import hypermodel
  from keras_tuner.engine import hyperparameters
label_desc: Use image node_id 6 for calling a global function with example usage: test_augmentation_param_invalid_input() without return types